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Comparison of pre- and post-processors for ensemble streamflow prediction

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dc.contributor.authorKang, Tae-Ho-
dc.contributor.authorKim, Young-Oh-
dc.contributor.authorHong, Il-Pyo-
dc.date.accessioned2010-06-22T04:38:35Z-
dc.date.available2010-06-22T04:38:35Z-
dc.date.issued2010-
dc.identifier.citationAtmospheric Science Letters 11: 153-159en
dc.identifier.issn1530-261X-
dc.identifier.urihttps://hdl.handle.net/10371/67750-
dc.description.abstractThis study conducted a broad review of the pre- and post-processor methods for ensemble
streamflow prediction using a Korean case study. Categorical forecasts offered by the Korea
Meteorogical Administration and deterministic forecasts of a regional climate model called
Seoul National University Regional Climate Model(SNURCM) were selected as climate
forecast information for the pre-processors and incorporated into Ensemble Streamflow
Prediction(ESP) runs with the TANK hydrologic model. The post-processors were then used
to minimize a possible error propagated through the streamflow generation. The application
results show that use of the post-processor more effectively reduced the uncertainty of the
no-processor ESP than use of the pre-processor, especially in dry season.
en
dc.language.isoenen
dc.publisherRoyal Meteorological Societyen
dc.subjectensemble streamflow predictionen
dc.subjectprobabilistic climate forecasten
dc.subjecthydrologic modelen
dc.subjectpre-processoren
dc.subjectpost-processoren
dc.subjectuncertaintyen
dc.titleComparison of pre- and post-processors for ensemble streamflow predictionen
dc.typeArticleen
dc.contributor.AlternativeAuthor강태호-
dc.contributor.AlternativeAuthor김영오-
dc.contributor.AlternativeAuthor홍일표-
dc.identifier.doi10.1002/asl.276-
Appears in Collections:
College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Civil & Environmental Engineering (건설환경공학부)Journal Papers (저널논문_건설환경공학부)
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